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    • Data Engineering

    Data Engineering Courses

    Data engineering courses can help you learn how to design, build, and maintain data systems and pipelines that support analytics, machine learning, and business intelligence.

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    Find the Best Data Engineering Course for Your Goals

    • C

      Coursera Project Network

      Understanding Smart Objects in Adobe Photoshop

      Skills you'll gain: Adobe Photoshop, Photo Editing, Adobe Creative Cloud, Data Import/Export, Editing, File Management

      Intermediate · Guided Project · Less Than 2 Hours

    • É

      École Polytechnique

      Vers l'infiniment grand - Voyages de l'infiniment grand à l'infiniment petit

      Skills you'll gain: Physics, General Science and Research, Physical Science, Science and Research, Simulations, Engineering, Scientific, and Technical Instruments

      4.8
      Rating, 4.8 out of 5 stars
      ·
      53 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      T

      The Hong Kong University of Science and Technology

      Calculus for Engineers

      Skills you'll gain: Calculus, Engineering Calculations, Differential Equations, Integral Calculus, Engineering Analysis, Applied Mathematics, Numerical Analysis, Algebra, Advanced Mathematics, Trigonometry, Physics, Mathematical Theory & Analysis, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Generative AI in Legal

      Skills you'll gain: Legal Strategy, Legal Research, Generative AI, Legal Risk, Case Law, Regulation and Legal Compliance, Legal Proceedings, Artificial Intelligence, Legal Writing, Document Management, ChatGPT, Ethical Standards And Conduct, Automation, Natural Language Processing, Client Services

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Generative AI with Vertex AI: Prompt Design

      Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, Large Language Modeling, Cloud API

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Machine Learning Algorithms with R in Business Analytics

      Skills you'll gain: Exploratory Data Analysis, R Programming, Analytics, Business Analytics, Statistical Machine Learning, Applied Machine Learning, Predictive Modeling, Unsupervised Learning, Regression Analysis, Machine Learning, Classification And Regression Tree (CART), Predictive Analytics, Data Analysis, Supervised Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      38 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Robot Localization with Python and Particle Filters

      Skills you'll gain: Spatial Data Analysis, Artificial Intelligence, Data Manipulation, Simulations, NumPy, Computer Vision

      4.5
      Rating, 4.5 out of 5 stars
      ·
      24 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Health Impacts of Chemicals in Consumer Products

      Skills you'll gain: Health Assessment, Chemistry, Risk Analysis, Pollution Prevention, Personal Care, Environmental Engineering, Product Lifecycle Management, Environmental Regulations, Environmental Science, Pharmacology, Child Health, Working With Children

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      W

      Whizlabs

      Machine Learning Implementation and Operations in AWS

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Applied Machine Learning, Amazon Web Services, Scalability, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Application Deployment, Cloud Security, Disaster Recovery, Data Security

      4.3
      Rating, 4.3 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Customer Insights: Quantitative Techniques

      Skills you'll gain: New Product Development, Product Development, Design Thinking, Market Research, Quantitative Research, Product Management, Customer Insights, Consumer Behaviour, Market Analysis, Target Market, Forecasting, Innovation, Needs Assessment, Analysis, Data Collection, Technology Solutions

      3.7
      Rating, 3.7 out of 5 stars
      ·
      32 reviews

      Mixed · Course · 1 - 3 Months

    • G

      Google Cloud

      ETL Processing on Google Cloud Using Dataflow and BigQuery

      Skills you'll gain: Data Pipelines, Extract, Transform, Load, Dataflow, Data Processing, Scripting, Google Cloud Platform, Big Data, Scripting Languages

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Air Conditioning Equipment Selection, Design and Sizing

      Skills you'll gain: HVAC, Building Services Engineering, Equipment Design, Thermal Management, Mechanical Engineering, Hydraulics, Facility Repair And Maintenance, Plumbing, Drafting and Engineering Design, Control Systems, Energy and Utilities, Engineering Calculations

      4.3
      Rating, 4.3 out of 5 stars
      ·
      10 reviews

      Intermediate · Course · 1 - 3 Months

    Searches related to data engineering

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    1…370371372…740

    In summary, here are 10 of our most popular data engineering courses

    • Understanding Smart Objects in Adobe Photoshop: Coursera Project Network
    • Vers l'infiniment grand - Voyages de l'infiniment grand à l'infiniment petit: École Polytechnique
    • Calculus for Engineers: The Hong Kong University of Science and Technology
    • Introduction to Generative AI in Legal: Coursera Instructor Network
    • Generative AI with Vertex AI: Prompt Design: Google Cloud
    • Machine Learning Algorithms with R in Business Analytics: University of Illinois Urbana-Champaign
    • Robot Localization with Python and Particle Filters: Coursera Project Network
    • Health Impacts of Chemicals in Consumer Products: University of Michigan
    • Machine Learning Implementation and Operations in AWS: Whizlabs
    • Customer Insights: Quantitative Techniques: University of Illinois Urbana-Champaign

    Why Learn Data Engineering?

    Data engineering focuses on preparing and structuring data so it can be accessed and analyzed efficiently. It involves working with databases, cloud platforms, ETL processes, and big data tools. Learning data engineering can help you manage complex data workflows, ensure data quality, and support data-driven decision-making in tech-driven organizations.

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Data Engineering

    Top courses include the Data Engineering Foundations from IBM, Introduction to Data Engineering with DeepLearning.AI, and Data Engineering, Big Data, and Machine Learning on GCP from Google Cloud. These programs teach how to design, build, and manage data pipelines using modern tools and cloud platforms.‎

    Yes. Many data engineering courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to build and manage data processing systems, work with data warehouses and data lakes, use tools like SQL, Apache Spark, and Airflow, and understand how to design reliable and scalable data pipelines.‎

    Not necessarily. Many beginner-friendly courses start with the fundamentals and explain data engineering concepts clearly. However, some familiarity with programming and data analysis can be helpful as you progress to more advanced topics.‎

    Yes. Data engineering is a fast-growing field with high demand in tech, finance, healthcare, and many other industries. Coursera’s data engineering courses can help you build job-ready skills, prepare for certification exams, and earn certificates that showcase your expertise to employers.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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